[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Search jobs](/search/) Amazon · Seattle, WA # Manager, Applied Science, Sales AI US, WA, Seattle Manager or lead Sales Listed on Amazon’s official careers site. Posted September 30, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10565896/manager-applied-science-sales-ai) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Manager, Applied Science, Sales AI ## Job description Are you excited about leading a team of scientists to solve complex, high-impact problems using machine learning and data-driven approaches? At Amazon Advertising Sales, we are looking for an experienced Applied Science Manager who can build, grow, and guide a team that delivers research and production-quality models at scale. In this role, you will own the strategic direction of your team's scientific roadmap, partner closely with business and technical leaders, and ensure your team's work directly shapes important decisions and customer-facing products. You will bridge the gap between science, technology, and business — translating ambiguous challenges into clear research agendas and actionable results. We are specifically looking to build AI agents that can operate accurately at large scale, helping transform the way account teams operate and optimize their end-to-end workflows. We are looking for a deeply scientific leader that brings their expertise in Natural Language Processing, Large Language Models, Reinforcement Learning, Deep learning and/or Recommender Systems to bring exciting new products come to life. If you are a thoughtful, collaborative leader who thrives on turning scientific innovation into measurable impact, we want to hear from you. ### Key job responsibilities - Lead and manage a team of applied scientists and analysts, setting the strategic direction and roadmap for scientific research that influences organizational goals and annual planning processes. - Partner with business and technical stakeholders to define vision, priorities, and success criteria — ensuring your team builds the right solutions at the right level of fidelity and that final outputs are ready to inform business decisions or move to production. - Evaluate and improve machine learning model accuracy and performance using rigorous experimentation, feature engineering, and hyperparameter optimization, while establishing a team culture focused on reproducibility and scientific rigor. - Hire, develop, and mentor scientists and technical contributors, providing growth opportunities and empowering team members to take ownership of key workstreams and deliver results independently. - Identify opportunities for new analysis, efficiency improvements, and generative AI integration, allocating resources effectively and proactively mitigating risks before they become roadblocks. ### A day in the life You start your morning reviewing experiment results with your scientists, asking probing questions about model assumptions and business relevance. Mid-morning, you join a cross-functional meeting with engineering and product partners to align on priorities for an upcoming launch. After lunch, you conduct a one-on-one with a team member, coaching them on a new research proposal. Later, you draft a narrative summarizing your team's quarterly progress and outline next steps for leadership review. Throughout, you balance hands-on technical guidance with strategic planning to keep your team delivering high-quality science. ### About the team Sales AI is focused on applying scientific research and machine learning to solve real problems that matter to Amazon and its advertising customers. We value intellectual curiosity, collaboration, and a commitment to building inclusive, high-performing teams. We believe that great science happens when people with different perspectives work together toward a shared mission. As we continue to grow, you will play a key role in shaping the team's direction, expanding our capabilities, and ensuring our work has lasting impact across the business. ## At a glance - Posted by the employer: Sep 30, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 11, 2026 - Listed for: 11 days - Location: US, WA, Seattle[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10565896/manager-applied-science-sales-ai) ## More jobs at Amazon ### [AWS Sr. Account Manager, ISV](https://jobs.opennash.com/companies/amazon/jobs/447b610fe0ae369cbf5c/) US, WA, Seattle ### [Account Executive, GGS Publishing](https://jobs.opennash.com/companies/amazon/jobs/81d124683d7db73546fe/) US, WA, Seattle ### [Account Manager I, Books Account Management](https://jobs.opennash.com/companies/amazon/jobs/e3d229eed2e9625c2cc4/) US, WA, Seattle ### [Account Manager, Books Account Management](https://jobs.opennash.com/companies/amazon/jobs/92a94d195f06e676d57c/) US, WA, Seattle ### [Associate Account Executive, SMB](https://jobs.opennash.com/companies/amazon/jobs/81013f2f11f4fb2a35af/) US, WA, Seattle ## Similar jobs at other companies ### [Applied Science: Internship Opportunities - Redmond](https://jobs.opennash.com/companies/microsoft/jobs/f1edff0276ef5510c5be/) Microsoft · United States, Washington, Redmond ### [Principal Applied Science Manager - Excel Team](https://jobs.opennash.com/companies/microsoft/jobs/6ee84050a3bd3261dca4/) Microsoft · United States, Washington, Redmond ### [Snr Director, Applied Science](https://jobs.opennash.com/companies/oracle/jobs/f68605779b1a2cd07f1f/) Oracle · United States ### [Senior Director, Applied Science - Robotics](https://jobs.opennash.com/companies/oracle/jobs/892a9511579b6d516421/) Oracle · United States ### [Research Scientist – Central Applied Science](https://jobs.opennash.com/companies/meta-platforms/jobs/23d1099168aa8ce2c846/) Meta Platforms · Menlo Park, CA OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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